Application of Deep Learning in Food: A Review-Reference-Cited by-同舟云学术

Application of Deep Learning in Food: A Review

Published:2019-09-16 Issue:6 Volume:18 Page:1793-1811
ISSN:1541-4337
Container-title:Comprehensive Reviews in Food Science and Food Safety
language:en
Short-container-title:Comprehensive Reviews in Food Science and Food Safety

Author:

Zhou Lei¹²,Zhang Chu¹²,Liu Fei¹²,Qiu Zhengjun¹²^ORCID,He Yong¹²

Affiliation:

1. College of Biosystems Engineering and Food ScienceZhejiang Univ. Hangzhou 310058 China

2. Key Laboratory of Spectroscopy SensingMinistry of Agriculture and Rural Affairs Hangzhou 310058 China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Food Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1541-4337.12492

Reference115 articles.

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2. Ahmed A. &Ozeki T.(2015).Food image recognition by using Bag‐of‐SURF features and HOG Features. InProceedings of the 3rd International Conference on Human‐Agent Interaction(pp.179–180).https://doi.org/10.1145/2814940.2814968

3. Detection of Red-Meat Adulteration by Deep Spectral–Spatial Features in Hyperspectral Images

4. Azizah L. M. Umayah S. F. Riyadi S. Damarjati C. &Utama N. A.(2017).Deep learning implementation using convolutional neural network in mangosteen surface defect detection. In2017 7th IEEE International Conference on Control System Computing and Engineering (ICCSCE)(pp.242–246).https://doi.org/10.1109/ICCSCE.2017.8284412

5. Application of infrared spectral techniques on quality and compositional attributes of coffee: An overview

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